DeMaris Regression With Social Data

Modeling Continuous and Limited Response Variables
1. Auflage 2004
ISBN: 978-0-471-67755-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 560 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

An accessible introduction to the use of regression analysis inthe social sciences
Regression with Social Data: Modeling Continuous and LimitedResponse Variables represents the most complete and fullyintegrated coverage of regression modeling currently available forgraduate-level behavioral science students and practitioners.Covering techniques that span the full spectrum of levels ofmeasurement for both continuous and limited response variables, andusing examples taken from such disciplines as sociology,psychology, political science, and public health, the authorsucceeds in demystifying an academically rigorous subject andmaking it accessible to a wider audience.
Content includes coverage of:
* Logit, probit, scobit, truncated, and censored regressions
* Multiple regression with ANOVA and ANCOVA models
* Binary and multinomial response models
* Poisson, negative binomial, and other regression models forevent-count data
* Survival analysis using multistate, multiepisode, andinterval-censored survival models
Concepts are reinforced throughout with numerous chapterproblems, exercises, and real data sets. Step-by-step solutionsplus an appendix of mathematical tutorials make even complexproblems accessible to readers with only moderate math skills. Thebook's logical flow, wide applicability, and uniquelycomprehensive coverage make it both an ideal text for a variety ofgraduate course settings and a useful reference for practicingresearchers in the field.

Autoren/Hrsg.

DeMaris, Alfred

Inhaltsverzeichnis

Preface.
1. Introduction to Regression Modeling.
2. Simple Linear Regression.
3. Introduction to Multiple Regression.
4. Multiple Regression with Categorical Predictors: ANOVA andANCOVA Models.
5. Modeling Nonlinearity.
6. Advanced Issues in Multiple Regression.
7. Regression with a Binary Response.
8. Advanced Topics in Logistic Regression.
9. Truncated and Censored Regression Models.
10. Regression Models for an Event Count.
11. Introduction to Survival Analysis.
12. Multistate, Multiepisode, and Interval-Censored Models inSurvival Analysis.
Appendix A: Mathematics Tutorials.
Appendix B: Answers to Selected Exercises.
References.
Index.

Über Autor(innen)

ALFRED DeMARIS, PhD, is Professor of Sociology at Bowling Green State University, Ohio. In addition to consulting on a regular basis, Dr. DeMaris has published well over fifty research papers and is a member of several local university and community boards.